Applied AI/ML - Vice President

Job Responsibilities

• Lead programs and provide directions to successfully implement the large AI/ML initiatives
• Assist product leadership in defining the problem statements, execution roadmap
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions
• Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations
• Collaborate to develop large-scale data modeling experiments, explain complex concepts to senior leaders and stakeholders
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction
• Deliver regular team updates and maintain full transparency into the team's priorities, progress, and deliverables across stakeholders
• Champion a culture of recognition by actively celebrating individual and team accomplishments, reinforcing a positive and high-performing team environment

Required Qualifications, Capabilities, And Skills

• BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning
• Strong background in Mathematics and Statistics
• 7+ years' experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.
• Experience with LLMs and Prompt Engineering techniques
• 1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc.
• Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models
• Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Able to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
• Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
• Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Ability to work on tasks and projects through to completion with limited supervision
• Passion for detail and follow through
• Excellent communication skills and team player